Alexey Antonov
Lead data scientist, Kaspersky
Alexey joined Kaspersky in 2010. In his current role, he leads the Detection Methods Analysis Group (DMAG). The group researches up-to-date machine learning techniques and implements these to detect security threats. Alexey has developed a variety of models for detecting executable files, created locality-sensitive hashing for PE files, and designed models for detecting intrusion methods. He holds patents to many of these innovations. Alexey also conducts research in the field of ML model security. His expertise is backed by a Ph.D. degree in the field of mathematics and software engineering for computers, complexes, and computer networks.Publications
Reports
Mirage Kitten targeting aviation and FinTech sectors across the Middle East and Africa with a new malware set
Kaspersky researchers have discovered new Mirage Kitten attacks using previously undocumented malware families: NodeRabbit in Node.js and PollCat in JavaScript.
APT group HoneyMyte upgrades CoolClient: the backdoor gets a kernel-level Windows rootkit
Our experts discovered a new CoolClient backdoor variant with a kernel-mode rootkit driver that hides malicious processes, files, and network connections from security tools and threat analysts.
Armored Likho expands its cyber-espionage toolkit
Kaspersky experts break down a new Armored Likho campaign that poses as a fundraising efforts and delivers a new Still Toolkit aimed at stealing Telegram data and eavesdropping on victims.
Mirage Kitten targets Middle East and Africa region with new malware
Kaspersky researchers reveal previously undocumented malware attributed to Mirage Kitten (UNC1549, Smoke Sandstorm, Nimbus Manticore): NightLedger backdoor, ArcBridge, and BridgeHead tunneling tools.
